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Record W2951769441 · doi:10.1080/25751654.2019.1631696

Cooperative Security and Denuclearizing the Arctic

2019· article· en· W2951769441 on OpenAlexaff
Ernie Regehr

Bibliographic record

VenueJournal for Peace and Nuclear Disarmament · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsArcticOffensivePolitical scienceDeterrence theoryThe arcticIndigenousNuclear weaponInternational communityContext (archaeology)International tradeSecurity communityInternational securityPolitical economyLawGeographyBusinessEngineeringPoliticsSociologyOceanographyOperations research

Abstract

fetched live from OpenAlex

Geography alone will continue to ensure that, as long as the United States and Russia place nuclear deterrence at the centre of their security strategies, both offensive and defensive systems will be deployed in the Arctic. As changing climate conditions also bring more immediate regional security concerns to the fore, and even as east-west relations deteriorate, the Arctic still continues to develop as an international “security community” in which there are reliable expectations that states will continue to settle disputes by peaceful means and in accordance with international law. In keeping with, and seeking to reinforce, those expectations, the denuclearization of the Arctic has been an enduring aspiration of indigenous communities and of the people of Arctic states more broadly, even though the challenges are daunting, given that two members of that community command well over 90% of global nuclear arsenals. The vision of an Arctic nuclear-weapon-free zone nevertheless persists, and with that vision comes an imperative to promote the progressive denuclearization of the Arctic, even if not initially as a formalized nuclear-weapon-free zone, within the context of a broad security cooperation agenda.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.765
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.319
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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